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constructive interactions. A strong commitment to continuous improvement and a willingness to learn and develop. A practical and innovative mindset, with the ability to quickly identify issues and implement
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You will be able to work well with different computer programs. Have proficiency in using MS Office applications (e.g. Word, Excel, PowerPoint and Outlook) and can demonstrate excellent accuracy
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of Science. Our ideal candidate will teach and research into the area broadly known as Technology and Humanity, which includes the Philosophy of AI. They will contribute to, and develop new, courses in Digital
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lending and information services at our information desk and via online media, assisting users with equipment, maintaining our collections and physical environment, and helping make our learning spaces
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research background who have moved into digital and data-intensive work. You will bring at least three years' experience in scientific programming, data analysis, data management, and machine learning
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, whanaungatanga and tiakitanga, supporting equity and inclusion across science learning in Aotearoa. You will build strong relationships with schools, UC staff, and students to deliver inspiring and culturally
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to develop search strategies, screen studies, and syntheses of key findings across fields such as health informatics, human-computer interaction, and organisational theory. Outcome The outcome will be a
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and/or Kaupapa Māori research methods, or a willingness to learn. • Accuracy in data handling and electronic data entry. • Excellent computer skills including knowledge of MS Office About our Team
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machine learning techniques to enhance source detection sensitivity. Multimessenger modelling and interpretation of Galactic sources. This position offers the opportunity to work at the forefront
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situations with a variety of individuals. Successful candidates will also have: • Experience in an administrative environment. • Computer literacy and technical proficiency in Microsoft Office programs